Measuring colorfulness in natural images
Logopharm (Germany) · École Polytechnique Fédérale de Lausanne
Abstract
We want to integrate colourfulness in an image quality evaluation framework. This quality framework is meant to evaluate the perceptual impact of a compression algorithm or an error prone communication channel on the quality of an image. The image might go through various enhancement or compression algorithms, resulting in a different -- but not necessarily worse -- image. In other words, we will measure quality but not fidelity to the original picture. While modern colour appearance models are able to predict the perception of colourfulness of simple patches on uniform backgrounds, there is no agreement on how to measure the overall colourfulness of a picture of a natural scene. We try to quantify the…
Citation impact
- FWCI
- 1.53
- Percentile
- 100%
- References
- 6
Authors
2Topics & keywords
- Computer science
- Artificial intelligence
- Fidelity
- Image quality
- Metric (unit)
- Scene statistics
- Computer vision
- Image compression